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An automated approach for global identification of sRNA-encoding regions in RNA-Seq data from Mycobacterium tuberculosis

机译:一种用于全局鉴定结核分枝杆菌RNA-Seq数据中sRNA编码区的自动化方法

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  • 来源
    《生物化学与生物物理学报:英文版》 |2016年第6期|544-553|共10页
  • 作者单位

    Key Laboratory of Non-Coding RNA & State Key Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China;

    University of Chinese Academy of Sciences, Beijing 100049,China;

    Key Laboratory of Non-Coding RNA & State Key Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China;

    Beijing Chest Hospital, Capital Medical University, Beijing 101149, China;

    Beijing Chest Hospital, Capital Medical University, Beijing 101149, China;

    Key Laboratory of Non-Coding RNA & State Key Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China;

    Key Laboratory of Non-Coding RNA & State Key Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China;

    BGI-Shenzhen, Shenzhen 518083,China;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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